Evaluating the role of low-cost sensors in machine learning based European PM₂.₅ monitoring
Environmental Research, 291, 123558
Examines how low-cost sensor networks contribute to machine-learning-based particulate-matter monitoring across Europe.
Publications
A curated, structured record of reliably verified peer-reviewed work and selected scholarly chapters. For the complete current record, consult Google Scholar, NVA, or ORCID.
27 verified records shown · newest first · Philipp Schneider highlighted in author lists
Environmental Research, 291, 123558
Examines how low-cost sensor networks contribute to machine-learning-based particulate-matter monitoring across Europe.
Environment International, 209, 110157
Environmental Research Letters, 21, 094004
A globally comparable view of urban nitrogen dioxide trends derived from satellite observations.
npj Climate and Atmospheric Science, 8, 285
Journal of Environmental Management, 380, 125100
Environmental Research, 264, 120363
Produces daily, high-resolution PM₂.₅ estimates over Europe by downscaling regional air-quality forecasts with machine learning.
npj Climate and Atmospheric Science, 8, 335
Environmental Data Science, 3, e19
Remote Sensing of Environment, 312, 114321
Uses Sentinel-5P TROPOMI and machine learning to estimate surface NO₂ across Europe.
Proceedings of the National Academy of Sciences, 121, e2306200121
Reassesses the role of urban vegetation in air-pollution control.
Atmosphere, 14, 540
Environmental Science & Technology, 57, 15162–15172
Scientific Data, 10, 322
Atmospheric Environment, 273, 118967
Atmosphere, 12, 961
Remote Sensing, 13, 2095
Taking the Temperature of the Earth, 129–150
Environmental Science & Technology, 53, 8485–8487
Proposes a shared terminology for processing levels of low-cost air-quality sensor data.
Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation, 93–110
Atmospheric Chemistry and Physics, 15, 1205–1220
Investigates satellite-observed trends in tropospheric nitrogen dioxide across large urban agglomerations worldwide.
Frontiers in Environmental Science, 2, 16
An accessible perspective on how data assimilation turns Earth observations into usable environmental information.
Journal of Geophysical Research: Atmospheres, 117
A global analysis of a decade of tropospheric nitrogen dioxide trends using a consistent satellite record.
Remote Sensing of Environment, 115, 3758–3769
Geophysical Research Letters, 37
Satellite observations reveal rapid surface warming of inland water bodies since 1985.
Geophysical Research Letters, 36
Remote Sensing of Environment, 112, 1151–1167
ISPRS Journal of Photogrammetry and Remote Sensing, 60, 339–358